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A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing

AUGMENTED COGNITION, PT II, AC 2024(2024)

Cited 0|Views15
Key words
Machine Learning,Affective Computing,Optimal Transport Theory,Human-Computer Interaction,Wasserstein Distance
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